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Version: v2.x

Manage Metadata

Introduction

We call the Hasura Server configuration the Metadata. All changes made to the Hasura instance via the Console or via the API such as tracking tables / views / custom functions, creating relationships, configuring permissions, creating event triggers and remote schemas, etc. are tracked by Hasura using the Metadata Catalogue and their state can be exported as YAML or JSON Metadata files.

The Metadata can be version controlled to keep the Server configuration in-sync with your codebase, and applied to another Hasura instance to get the same configuration. You can also manually edit the Metadata and then use it to update the instance.

If you have already initialized your project via the Hasura CLI you should see the Metadata directory structure in your project directory. If you are only using the Hasura Console from the Hasura CLI then it will be kept fully updated as you make changes. However, you can always create a manual export if you need to make sure that it is up-to-date.

Example Metadata directory:

📂 metadata
├─ 📂 databases
│ ├─ 📂 default
│ │ └─ 📂 tables
│ │ ├─ 📄 public_author.yaml
│ │ ├─ 📄 public_article.yaml
│ │ └─ 📄 tables.yaml
│ └── 📄 databases.yaml
├─ 📄 actions.graphql
├─ 📄 actions.yaml
├─ 📄 allow_list.yaml
├─ 📄 api_limits.yaml
├─ 📄 cron_triggers.yaml
├─ 📄 graphql_schema_introspection.yaml
├─ 📄 inherited_roles.yaml
├─ 📄 network.yaml
├─ 📄 query_collections.yaml
├─ 📄 remote_schemas.yaml
├─ 📄 rest_endpoints.yaml
└─ 📄 version.yaml

There is no way to create an export of partial Metadata.

There are three ways to interact with the Hasura Metadata. Via the Hasura CLI, the Hasura Console, and the Hasura API. We'll go over each Metadata command below and how it is executed with each method.

Metadata Formats

Internally, Hasura saves Metadata as a single JSON blob in a table called hdb_metadata in a schema called hdb_catalog in the database which you've designated as your Metadata database. Metadata can be exported and imported in this JSON blob format using the Console or Hasura API. Using the Hasura CLI, the Metadata is exported and managed in YAML format using separate files for each Metadata type.

Tip

You are also able to abbreviate the Hasura CLI metadata command to its shortened alias: md and it will work the same.

Export Hasura Metadata

To export your Metadata means to save your internal Hasura Metadata configuration to a file or group of files in order to track it with version control or use it in a CI/CD pipeline.

To export your entire Metadata using the Hasura CLI execute the following command in your terminal:

# in project dir
hasura metadata export

CLI will log:

INFO Metadata exported

This will export the Metadata as YAML files in the /metadata directory eg:

📂 metadata
├─ 📂 databases
│ ├─ 📂 default
│ │ └─ 📂 tables
│ │ ├─ 📄 public_author.yaml
│ │ ├─ 📄 public_article.yaml
│ │ └─ 📄 tables.yaml
│ └── 📄 databases.yaml
├─ 📄 actions.graphql
├─ 📄 actions.yaml
├─ 📄 allow_list.yaml
├─ 📄 api_limits.yaml
├─ 📄 cron_triggers.yaml
├─ 📄 graphql_schema_introspection.yaml
├─ 📄 inherited_roles.yaml
├─ 📄 network.yaml
├─ 📄 query_collections.yaml
├─ 📄 remote_schemas.yaml
├─ 📄 rest_endpoints.yaml
└─ 📄 version.yaml

Apply Hasura Metadata

You can apply Metadata from one Hasura Server instance to another. You can also apply an older or modified version of an instance's Metadata onto itself to replace the existing Metadata.

Applying or importing completely replaces the Metadata on that instance, i.e. you lose any Metadata that existed before applying.

Metadata can be applied with the hasura metadata apply command.

# in project directory
hasura metadata apply

CLI will log:

INFO Metadata applied
Note

All the dependent objects, like tables, views, custom functions etc. should exist on the database before importing the Metadata. Otherwise, it will result in an error saying the object does not exist. So, apply the database Migration schema first, before apply the Metadata.

Roll back Hasura Metadata

As Hasura Metadata is Managed via snapshots of whole of the Metadata, to roll it back to a particular state you need the Metadata snapshot at that point which you would typically achieve by checking out stable checkpoints of a project in version control.

Reload Hasura Metadata

In some cases, the Metadata can be out of sync with the database schema. For example, when a new column has been added to a table via an external tool such as psql.

Metadata can be reloaded with the hasura metadata reload command.

# in project directory
hasura metadata reload

CLI will log:

INFO Metadata reloaded
INFO Metadata is consistent
Note

Reloading may result in an inconsistent metadata status. You may need to resolve all inconsistent objects manually or delete them. After that, you will need to reload Metadata again.

Clear Hasura Metadata

Clearing the Hasura Metadata is an irreversible process. It is highly recommended to first export the Metadata as a backup so that it can be reapplied if necessary or else that information will be lost and Hasura will have to be configured again from scratch (e.g. tables tracking, relationships, triggers, actions, etc.).

Metadata can be cleared with the hasura metadata clear command.

hasura metadata clear

CLI will log:

INFO Metadata cleared

Metadata Inconsistencies

Metadata should always be consistent against the underlying database schemas. When it's not, Hasura will mark the Metadata objects as inconsistent. You can learn more about Metadata inconsistencies on this page.

Diff Metadata

The Hasura CLI includes a tool to show a highlighted diff between two sets of Metadata.

If no arguments are given it will diff the server endpoint Metadata and the Metadata in the current project directory

hasura metadata diff

You can provide the tool with two Metadata folders to diff.

hasura metadata diff folder1 folder2

Auto-Applying Metadata in CI/CD

If you need an automated way of applying Migrations and Metadata, take a look at the cli-migrations Docker image, which can automatically apply Migrations and Metadata when the Hasura Server starts. Check out more information here.